Comparative Study Of Boundary Feature Description Methods For Similar Figure

Description or discrimination of boundary curves is an important problem in image processing and pattern recognition.There are too many boundary feature description methods for object recognition,three main methods are Fourier descriptors,Relative moments, mathematical morphology.The performance of each of the methods was compared.Chart of axes track has the important malfunction information,it is very important in diagnostics of malfunction.In practice,we can obtain earlier stage malfunction sign of the generator that comes from the chart of axes track,and it would have instructive function to preventing deterioration and excluding malfunction.In this paper,we combine Normalized pattern spectrum, Relative mome-nts and Geometrical characteristic with artificial neural network to achieve classify and recognize the chart of axes track. Afterwards, neural network linked the non-linear relationship between the track's parameters and it's characteristics.The experiments data is very close to the ideal parameters,it also validate the effectiveness of the method. The neural network can get the track's...